The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-23"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "23420418 (up from 23203532 yesterday: 0.93 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "808676 (up from 804416 yesterday: 0.53 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5340902

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.45



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5701679 34567 0.61 1033724 176802 449 0.25 3.10
Brazil 3605783 23421 0.65 872106 114744 494 0.43 3.18
India 3106348 61408 2.02 1302653 57542 836 1.47 1.85
Russia 954328 4797 0.51 105051 16341 73 0.45 1.71
South Africa 609773 2728 0.45 98288 13059 72 0.55 2.14
Peru 585236 9169 1.59 156386 27453 208 0.76 4.69
Mexico 560164 3948 0.71 121118 60480 226 0.38 10.80
Colombia 541139 19001 3.64 223488 17316 748 4.51 3.20
Chile 397665 1957 0.49 37934 10852 60 0.56 2.73
Spain 386054 0 0.00 97532 28838 0 0.00 7.47
Iran 358905 2113 0.59 49468 20643 141 0.69 5.75
Argentina 342154 5352 1.59 140235 6985 137 2.00 2.04
United Kingdom 327643 1048 0.32 21324 41515 6 0.01 12.67
Saudi Arabia 307479 1109 0.36 28644 3649 30 0.83 1.19
Bangladesh 294598 1973 0.67 53852 3941 34 0.87 1.34
Pakistan 293261 1087 0.37 13562 6244 13 0.21 2.13
France 280459 4897 1.78 55261 30518 1 0.00 10.88
Italy 259345 1209 0.47 11275 35437 7 0.02 13.66
Turkey 258249 1217 0.47 25393 6121 19 0.31 2.37
Germany 234494 633 0.27 23274 9275 3 0.03 3.96
Iraq 204341 3291 1.64 75190 6428 75 1.18 3.15
Philippines 189601 2352 1.26 86416 2998 32 1.08 1.58
Indonesia 153535 2037 1.34 42080 6680 86 1.30 4.35
Canada 126817 257 0.20 8049 9119 2 0.02 7.19
Qatar 117008 243 0.21 5901 193 0 0.00 0.16
Bolivia 109149 722 0.67 28996 4509 67 1.51 4.13
Ecuador 107769 680 0.63 21537 6310 33 0.53 5.86
Ukraine 107379 2042 1.94 33618 2313 27 1.18 2.15
Kazakhstan 104718 175 0.17 12056 1415 0 0.00 1.35
Israel 102663 730 0.72 29848 834 15 1.83 0.81
Egypt 97340 103 0.11 2857 5262 19 0.36 5.41
Dominican Republic 91161 600 0.66 18918 1567 13 0.84 1.72
China 89695 41 0.05 1710 4711 0 0.00 5.25
Panama 86900 1420 1.66 19447 1892 14 0.75 2.18
Sweden 86068 0 0.00 5646 5810 0 0.00 6.75
Oman 83769 0 0.00 4610 609 0 0.00 0.73
Belgium 81936 468 0.57 12087 9992 4 0.04 12.19
Kuwait 80528 571 0.71 12617 515 2 0.39 0.64
Romania 78505 961 1.24 25319 3272 39 1.21 4.17
Belarus 70468 183 0.26 2401 642 5 0.78 0.91
Netherlands 68570 519 0.76 13162 6225 0 0.00 9.08
Guatemala 68188 332 0.49 16882 2594 14 0.54 3.80
United Arab Emirates 67007 390 0.59 6008 375 3 0.81 0.56
Japan 62658 742 1.20 23542 1188 9 0.76 1.90
Poland 61762 581 0.95 14868 1955 4 0.21 3.17
Singapore 56353 87 0.15 3528 27 0 0.00 0.05
Portugal 55597 145 0.26 4134 1796 2 0.11 3.23
Honduras 54511 528 0.98 11314 1654 11 0.67 3.03
Morocco 52349 1537 3.02 26812 888 30 3.50 1.70
Nigeria 52227 322 0.62 8386 1002 5 0.50 1.92
Bahrain 49330 292 0.60 7794 184 1 0.55 0.37
Ghana 43505 180 0.42 6491 261 0 0.00 0.60
Kyrgyzstan 43023 134 0.31 6304 1056 1 0.09 2.45
Armenia 42792 176 0.41 3742 852 2 0.24 1.99
Algeria 41460 392 0.95 9995 1435 11 0.77 3.46
Ethiopia 40671 1638 4.20 21965 678 16 2.42 1.67
Switzerland 39903 276 0.70 4353 2001 1 0.05 5.01
Venezuela 39564 607 1.56 19358 329 6 1.86 0.83
Uzbekistan 38946 414 1.07 13610 273 6 2.25 0.70
Afghanistan 37999 46 0.12 1289 1387 2 0.14 3.65
Azerbaijan 35274 169 0.48 2831 518 3 0.58 1.47
Costa Rica 33820 736 2.22 14845 355 7 2.01 1.05
Moldova 33478 406 1.23 8116 940 5 0.53 2.81
Kenya 32364 246 0.77 10311 548 6 1.11 1.69
Nepal 31935 818 2.63 11603 149 3 2.05 0.47
Serbia 30657 109 0.36 4464 698 3 0.43 2.28
Ireland 27969 61 0.22 1807 1777 0 0.00 6.35
Austria 25253 191 0.76 3949 732 0 0.00 2.90
Australia 24915 104 0.42 6597 517 15 2.99 2.08
El Salvador 24622 202 0.83 7174 661 7 1.07 2.68
Czechia 21923 133 0.61 5123 412 1 0.24 1.88
West Bank and Gaza 18802 326 1.76 6505 128 3 2.40 0.68
Cameroon 18762 0 0.00 1507 408 0 0.00 2.17
Bosnia and Herzegovina 17715 0 0.00 5419 532 0 0.00 3.00
Korea, South 17665 266 1.53 3276 309 0 0.00 1.75
Cote d’Ivoire 17471 97 0.56 1289 113 0 0.00 0.65
Denmark 16715 78 0.47 2687 622 0 0.00 3.72
Bulgaria 15287 156 1.03 3332 545 6 1.11 3.57
Madagascar 14327 50 0.35 2799 178 0 0.00 1.24
North Macedonia 13595 137 1.02 2541 564 1 0.18 4.15
Paraguay 13233 259 2.00 7589 205 13 6.77 1.55
Senegal 12949 99 0.77 2605 269 3 1.13 2.08
Sudan 12836 154 1.21 1098 815 0 0.00 6.35
Lebanon 12698 507 4.16 7813 123 2 1.65 0.97
Kosovo 12448 280 2.30 3649 467 19 4.24 3.75
Zambia 11082 251 2.32 4735 280 1 0.36 2.53
Libya 10437 0 0.00 6600 188 0 0.00 1.80
Norway 10323 24 0.23 1055 264 0 0.00 2.56

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 669280 4845 0.73 157105 12153 22 0.18 1.82 16938.56 307.58 1 in 59
Florida 600571 2974 0.50 113439 10325 51 0.50 1.72 27962.49 480.73 1 in 36
Texas 594173 4824 0.82 146028 11699 118 1.02 1.97 20491.63 403.47 1 in 49
New York 429737 572 0.13 13439 32883 12 0.04 7.65 22090.40 1690.33 1 in 45
Georgia 253949 1727 0.68 60772 5132 40 0.79 2.02 23918.14 483.36 1 in 42
Illinois 221594 1893 0.86 38370 8089 6 0.07 3.65 17487.15 638.35 1 in 57
Arizona 198103 208 0.11 19636 4771 15 0.32 2.41 26015.20 626.54 1 in 38
New Jersey 189494 148 0.08 7144 15946 3 0.02 8.42 21334.15 1795.28 1 in 47
North Carolina 155113 1473 0.96 29783 2531 10 0.40 1.63 14789.45 241.32 1 in 68
Tennessee 143937 1854 1.30 34310 1567 4 0.26 1.09 21064.44 229.32 1 in 47
Louisiana 142943 1223 0.86 23196 4746 59 1.26 3.32 30748.40 1020.91 1 in 33
Pennsylvania 133679 519 0.39 15646 7557 2 0.03 5.65 10442.05 590.30 1 in 96
Massachusetts 125360 0 0.00 6902 8921 0 0.00 7.12 18038.70 1283.69 1 in 55
Alabama 115060 528 0.46 23616 2013 2 0.10 1.75 23466.38 410.55 1 in 43
Ohio 114802 637 0.56 21771 3978 3 0.08 3.47 9821.29 340.32 1 in 102
Virginia 112960 892 0.80 21178 2467 24 0.98 2.18 13234.11 289.03 1 in 76
South Carolina 111988 693 0.62 20200 2504 11 0.44 2.24 21750.67 486.34 1 in 46
Michigan 106808 764 0.72 15050 6659 4 0.06 6.23 10694.86 666.78 1 in 94
Maryland 104102 579 0.56 13828 3691 6 0.16 3.55 17219.24 610.52 1 in 58
Indiana 85932 615 0.72 18075 3220 2 0.06 3.75 12764.29 478.30 1 in 78
Mississippi 77894 626 0.81 17341 2240 3 0.13 2.88 26172.75 752.65 1 in 38
Missouri 75783 831 1.11 23599 1453 2 0.14 1.92 12347.68 236.74 1 in 81
Washington 71012 417 0.59 12839 1863 6 0.32 2.62 9325.41 244.65 1 in 107
Wisconsin 70462 453 0.65 15538 1081 0 0.00 1.53 12101.81 185.66 1 in 83
Minnesota 69584 717 1.04 13637 1813 6 0.33 2.61 12338.39 321.47 1 in 81
Nevada 65601 532 0.82 15396 1197 0 0.00 1.82 21297.95 388.62 1 in 47
Arkansas 56574 375 0.67 12764 687 13 1.93 1.21 18746.61 227.65 1 in 53
Iowa 56446 450 0.80 10723 1037 4 0.39 1.84 17890.57 328.68 1 in 56
Colorado 55123 259 0.47 7414 1918 0 0.00 3.48 9572.07 333.06 1 in 104
Oklahoma 53165 566 1.08 14940 726 1 0.14 1.37 13435.78 183.47 1 in 74
Connecticut 51519 0 0.00 1709 4460 0 0.00 8.66 14450.17 1250.95 1 in 69
Utah 49115 301 0.62 7940 385 0 0.00 0.78 15319.91 120.09 1 in 65
Kentucky 43066 0 0.00 11881 872 0 0.00 2.02 9639.47 195.18 1 in 104
Kansas 37658 270 0.72 9787 426 0 0.00 1.13 12926.17 146.23 1 in 77
Nebraska 31889 109 0.34 5187 378 2 0.53 1.19 16485.15 195.41 1 in 61
Puerto Rico 29896 319 1.08 11485 390 9 2.36 1.30 9360.95 122.12 1 in 107
Idaho 29845 186 0.63 8735 307 1 0.33 1.03 16653.97 171.31 1 in 60
Oregon 24937 227 0.92 5840 417 0 0.00 1.67 5912.41 98.87 1 in 169
New Mexico 24396 94 0.39 3380 745 2 0.27 3.05 11634.71 355.30 1 in 86
Rhode Island 21022 0 0.00 2000 1030 0 0.00 4.90 19844.04 972.28 1 in 50
Delaware 16895 67 0.40 1946 600 0 0.00 3.55 17350.20 616.17 1 in 58
District of Columbia 13534 0 0.00 1477 604 0 0.00 4.46 19176.79 855.83 1 in 52
South Dakota 11276 141 1.27 2321 161 1 0.62 1.43 12746.15 181.99 1 in 78
North Dakota 9876 140 1.44 3216 136 1 0.74 1.38 12959.58 178.46 1 in 77
West Virginia 9273 88 0.96 2415 179 2 1.13 1.93 5188.72 100.16 1 in 193
New Hampshire 7107 13 0.18 473 429 0 0.00 6.04 5226.85 315.51 1 in 191
Hawaii 6600 244 3.84 4358 47 0 0.00 0.71 4661.44 33.20 1 in 215
Montana 6429 53 0.83 2236 90 0 0.00 1.40 6015.28 84.21 1 in 166
Alaska 4741 64 1.37 1461 32 1 3.23 0.67 6480.80 43.74 1 in 154
Maine 4336 18 0.42 378 131 1 0.77 3.02 3225.68 97.45 1 in 310
Wyoming 3578 35 0.99 770 37 0 0.00 1.03 6182.19 63.93 1 in 162
Vermont 1557 4 0.26 131 58 0 0.00 3.73 2495.24 92.95 1 in 401

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 10541031 669280 6.35 2505056 157105 6.27 266779.0
2 Florida 4428633 600571 13.56 707636 113439 16.03 206196.4
3 Texas 4668028 594173 12.73 920249 146028 15.87 160989.4
4 New York 7621159 429737 5.64 1590224 13439 0.85 391761.6
5 Georgia 2171884 253949 11.69 547244 60772 11.11 204558.5
6 Illinois 3705453 221594 5.98 925850 38370 4.14 292416.8
7 Arizona 1150869 198103 17.21 194441 19636 10.10 151134.0
8 New Jersey 2648998 189494 7.15 503120 7144 1.42 298237.0
9 North Carolina 2078472 155113 7.46 264962 29783 11.24 198174.6
10 Tennessee 2045193 143937 7.04 482895 34310 7.11 299303.5
11 Louisiana 1763838 142943 8.10 384398 23196 6.03 379418.4
12 Pennsylvania 1553020 133679 8.61 308451 15646 5.07 121310.8
13 Massachusetts 1553673 125360 8.07 339133 6902 2.04 223566.1
14 Alabama 921669 115060 12.48 215599 23616 10.95 187973.5
15 Ohio 1983889 114802 5.79 466343 21771 4.67 169721.3
16 Virginia 1470887 112960 7.68 330861 21178 6.40 172325.4
17 South Carolina 892336 111988 12.55 170079 20200 11.88 173312.4
18 Michigan 2533472 106808 4.22 631631 15050 2.38 253680.6
19 Maryland 1232896 104102 8.44 288110 13828 4.80 203930.1
20 Indiana 977802 85932 8.79 208759 18075 8.66 145242.2
21 Mississippi 534248 77894 14.58 72103 17341 24.05 179509.8
22 Missouri 914833 75783 8.28 212366 23599 11.11 149058.0
23 Washington 1020702 71012 6.96 19174 12839 66.96 134040.2
24 Wisconsin 1190354 70462 5.92 226698 15538 6.85 204442.7
25 Minnesota 1060320 69584 6.56 201979 13637 6.75 188012.3
26 Nevada 574229 65601 11.42 92110 15396 16.71 186428.5
27 Arkansas 665700 56574 8.50 151119 12764 8.45 220589.3
28 Iowa 581976 56446 9.70 97858 10723 10.96 184457.4
29 Colorado 930152 55123 5.93 389580 7414 1.90 161520.2
30 Oklahoma 812500 53165 6.54 174814 14940 8.55 205333.8
31 Connecticut 1022370 51519 5.04 228374 1709 0.75 286756.7
32 Utah 624836 49115 7.86 88120 7940 9.01 194898.4
33 Kentucky 749731 43066 5.74 152595 11881 7.79 167812.4
34 Kansas 366315 37658 10.28 73808 9787 13.26 125738.2
35 Nebraska 338361 31889 9.42 61118 5187 8.49 174917.1
37 Idaho 237280 29845 12.58 52981 8735 16.49 132405.9
38 Oregon 519820 24937 4.80 106163 5840 5.50 123246.2
39 New Mexico 705162 24396 3.46 139276 3380 2.43 336299.2
40 Rhode Island 454977 21022 4.62 248961 2000 0.80 429482.5
41 Delaware 221845 16895 7.62 36934 1946 5.27 227822.1
42 District of Columbia 266046 13534 5.09 68854 1477 2.15 376969.7
43 South Dakota 136760 11276 8.25 22807 2321 10.18 154590.6
44 North Dakota 190885 9876 5.17 34700 3216 9.27 250484.9
45 West Virginia 396193 9273 2.34 104981 2415 2.30 221690.2
46 New Hampshire 196064 7107 3.62 35102 473 1.35 144195.4
47 Hawaii 176184 6600 3.75 49543 4358 8.80 124435.0
48 Montana 210749 6429 3.05 36454 2236 6.13 197186.9
49 Alaska 327440 4741 1.45 84350 1461 1.73 447600.6
50 Maine 231701 4336 1.87 59627 378 0.63 172369.4
51 Wyoming 64892 3578 5.51 11511 770 6.69 112122.7
52 Vermont 120043 1557 1.30 23362 131 0.56 192380.0

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 693398 11015 1.61 502490 72.47 168126 22465 212 0.95 3.24
Tamil Nadu 385352 5967 1.57 325456 84.46 53282 6614 97 1.49 1.72
Andhra Pradesh 361712 8601 2.44 268828 74.32 89516 3368 86 2.62 0.93
Karnataka 283665 5851 2.11 197625 69.67 81211 4810 127 2.71 1.70
Uttar Pradesh 192382 4601 2.45 140107 72.83 49288 2987 61 2.08 1.55
Delhi 162527 1061 0.66 146588 90.19 11626 4313 13 0.30 2.65
West Bengal 141837 2967 2.14 111292 78.46 27694 2851 57 2.04 2.01
Bihar 123383 1227 1.00 101362 82.15 21393 627 17 2.79 0.51
Telangana 106091 1842 1.77 82411 77.68 22919 761 6 0.79 0.72
Assam 92620 1879 2.07 73091 78.91 19274 252 10 4.13 0.27
Gujarat 87846 1067 1.23 70350 80.08 14588 2908 13 0.45 3.31
Odisha 81479 2949 3.76 56925 69.86 24082 472 10 2.16 0.58
Rajasthan 71955 1346 1.91 56600 78.66 14388 967 12 1.26 1.34
Kerala 59504 1242 2.13 38883 65.35 20323 235 11 4.91 0.39
Haryana 55460 1074 1.97 45405 81.87 9442 613 10 1.66 1.11
Madhya Pradesh 54421 1292 2.43 41231 75.76 11944 1246 17 1.38 2.29
Punjab 43284 1505 3.60 28357 65.51 13798 1129 43 3.96 2.61
Jammu and Kashmir 33075 428 1.31 25205 76.21 7246 624 7 1.13 1.89
Jharkhand 31118 940 3.11 21025 67.57 9758 335 17 5.35 1.08
Chhattisgarh 22054 1136 5.43 13424 60.87 8424 206 9 4.57 0.93
Uttarakhand 15529 405 2.68 10912 70.27 4355 207 7 3.50 1.33
Goa 14138 139 0.99 10909 77.16 3081 148 4 2.78 1.05
Puducherry 10859 337 3.20 6942 63.93 3753 164 5 3.14 1.51
Tripura 8917 200 2.29 6341 71.11 2485 73 1 1.39 0.82
Manipur 5362 116 2.21 3713 69.25 1627 22 0 0.00 0.41
Himachal Pradesh 5101 100 2.00 3584 70.26 1435 28 0 0.00 0.55
Nagaland 3714 28 0.76 2396 64.51 1301 8 0 0.00 0.22
Arunachal Pradesh 3312 49 1.50 2427 73.28 880 5 0 0.00 0.15
Chandigarh 3035 117 4.01 1646 54.23 1350 37 0 0.00 1.22
Andaman and Nicobar Islands 2904 44 1.54 2092 72.04 777 35 2 6.06 1.21
Ladakh 2330 51 2.24 1517 65.11 790 23 0 0.00 0.99
Dadra and Nagar Haveli and Daman and Diu 2177 18 0.83 1783 81.90 368 2 0 0.00 0.09
Meghalaya 1976 59 3.08 789 39.93 1179 8 0 0.00 0.40
Sikkim 1446 43 3.06 934 64.59 509 3 0 0.00 0.21
Mizoram 918 0 0.00 461 50.22 457 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1483556 98316 239 0.24 6.63 148 14 5782 16856 17.14
Piemonte 558919 32343 42 0.13 5.79 78 5 1061 4143 12.81
Emilia-Romagna 827082 30915 127 0.41 3.74 77 8 2034 4456 14.41
Veneto 1453684 21955 145 0.66 1.51 43 4 1989 2104 9.58
Toscana 496708 11175 59 0.53 2.25 35 7 980 1139 10.19
Liguria 223155 10645 28 0.26 4.77 18 1 398 1571 14.76
Lazio 496648 9947 184 1.88 2.00 286 6 2027 874 8.79
Marche 193716 7110 5 0.07 3.67 12 1 245 987 13.88
Campania 383487 5722 138 2.47 1.49 61 2 925 441 7.71
P.A. Trento 178747 5028 3 0.06 2.81 3 1 43 405 8.05
Puglia 283415 5025 33 0.66 1.77 68 4 467 555 11.04
Sicilia 326347 4002 35 0.88 1.23 50 10 903 286 7.15
Abruzzo 147963 3648 21 0.58 2.47 31 1 332 472 12.94
Friuli Venezia Giulia 305157 3640 24 0.66 1.19 10 2 291 348 9.56
P.A. Bolzano 129908 2869 13 0.46 2.21 8 1 157 292 10.18
Sardegna 124137 1734 81 4.90 1.40 18 0 338 134 7.73
Umbria 141947 1639 19 1.17 1.15 11 1 160 80 4.88
Calabria 144912 1398 8 0.58 0.96 11 1 166 97 6.94
Valle d’Aosta 24082 1221 0 0.00 5.07 1 0 11 146 11.96
Molise 31245 511 1 0.20 1.64 1 0 58 23 4.50
Basilicata 52822 502 5 1.01 0.95 1 0 71 28 5.58

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 61673 74 0.12 5740 1 0.02 9.31 7223.63 672.31 1 in 138
Ontario 43323 105 0.24 2842 0 0.00 6.56 2944.77 193.18 1 in 340
Alberta 12748 0 0.00 230 0 0.00 1.80 2888.64 52.12 1 in 346
British Columbia 4915 0 0.00 202 0 0.00 4.11 961.67 39.52 1 in 1040
Saskatchewan 1600 3 0.19 22 0 0.00 1.38 1354.02 18.62 1 in 739
Nova Scotia 1080 2 0.19 65 1 1.56 6.02 1104.91 66.50 1 in 905
Manitoba 944 72 8.26 12 0 0.00 1.27 685.29 8.71 1 in 1459
Newfoundland and Labrador 268 0 0.00 3 0 0.00 1.12 514.04 5.75 1 in 1945
New Brunswick 189 1 0.53 2 0 0.00 1.06 242.31 2.56 1 in 4127
Prince Edward Island 44 0 0.00 0 0 NaN 0.00 278.20 0.00 1 in 3594
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4682 77 1.64
Guangdong 1727 8 0.46
Zhejiang 1277 1 0.08
Henan 1276 22 1.72
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shanghai 880 7 0.80
Shandong 831 7 0.84
Jiangsu 665 0 0.00
Sichuan 631 3 0.48
Chongqing 583 6 1.03
Fujian 375 1 0.27
Shaanxi 362 3 0.83
Hebei 359 6 1.67
Liaoning 261 2 0.77
Inner Mongolia 260 1 0.38
Guangxi 255 2 0.78
Tianjin 218 3 1.38
Shanxi 202 0 0.00
Yunnan 198 2 1.01
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 17425.67 540.35 1 in 57
Brazil 17227.82 548.23 1 in 58
India 2319.90 42.97 1 in 431
Russia 6604.35 113.09 1 in 151
South Africa 10750.58 230.24 1 in 93
Peru 18191.98 853.37 1 in 55
Mexico 4335.63 468.11 1 in 231
Colombia 11027.90 352.88 1 in 91
Chile 22031.30 601.22 1 in 45
Spain 8273.77 618.05 1 in 121
Iran 4422.19 254.35 1 in 226
Argentina 7728.80 157.78 1 in 129
United Kingdom 4931.41 624.85 1 in 203
Saudi Arabia 9334.52 110.78 1 in 107
Bangladesh NA NA 1 in NA
Pakistan 1488.63 31.70 1 in 672
France 4186.58 455.56 1 in 239
Italy 4288.11 585.93 1 in 233
Turkey 3195.76 75.75 1 in 313
Germany 2832.40 112.03 1 in 353

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 232120 23658 10.19
Los Angeles California 231695 5545 2.39
Miami-Dade Florida 151986 2243 1.48
Maricopa Arizona 131787 2790 2.12
Cook Illinois 121308 5013 4.13
Harris Texas 98506 2028 2.06
Broward Florida 69136 1113 1.61
Dallas Texas 68904 881 1.28
Clark Nevada 56464 1027 1.82
Riverside California 49944 927 1.86
Orange California 45954 897 1.95
Bexar Texas 45255 998 2.21
San Bernardino California 45035 691 1.53
Suffolk New York 44498 2001 4.50
Nassau New York 44245 2196 4.96
Palm Beach Florida 40570 1059 2.61
Tarrant Texas 37622 564 1.50
Westchester New York 36689 1449 3.95
San Diego California 36540 660 1.81
Hillsborough Florida 35721 520 1.46
Orange Florida 34662 361 1.04
Philadelphia Pennsylvania 32936 1736 5.27
Wayne Michigan 30013 2857 9.52
Kern California 27915 240 0.86
Shelby Tennessee 25858 369 1.43
Travis Texas 25736 357 1.39
Duval Florida 25558 235 0.92
Prince George’s Maryland 25426 778 3.06
Middlesex Massachusetts 24698 2043 8.27
Hidalgo Texas 24494 1091 4.45
Mecklenburg North Carolina 24129 271 1.12
Fulton Georgia 23751 490 2.06
Milwaukee Wisconsin 23209 479 2.06
Fresno California 23197 226 0.97
Gwinnett Georgia 23096 306 1.32
Davidson Tennessee 22766 245 1.08
Salt Lake Utah 22760 224 0.98
Hennepin Minnesota 21670 866 4.00
Suffolk Massachusetts 21588 1093 5.06
Bergen New Jersey 21326 2032 9.53
Franklin Ohio 20534 553 2.69
Pima Arizona 20475 551 2.69
Essex New Jersey 20112 2114 10.51
Hudson New Jersey 20042 1510 7.53
Montgomery Maryland 19468 815 4.19
Pinellas Florida 19431 599 3.08
El Paso Texas 19396 392 2.02
Cameron Texas 19225 653 3.40
King Washington 18662 713 3.82
Fairfield Connecticut 18434 1411 7.65
Middlesex New Jersey 18275 1420 7.77
Passaic New Jersey 18173 1246 6.86
Nueces Texas 18069 313 1.73
Lee Florida 18009 402 2.23
St. Louis Missouri 17872 713 3.99
Fairfax Virginia 17647 542 3.07
Essex Massachusetts 17574 1215 6.91
Marion Indiana 17424 743 4.26
Oakland Michigan 17225 1152 6.69
Union New Jersey 16978 1352 7.96
Alameda California 16723 234 1.40
Out of GA Georgia 16547 111 0.67
Polk Florida 16251 404 2.49
Providence Rhode Island 16142 0 0.00
Jefferson Louisiana 16131 537 3.33
San Joaquin California 16068 295 1.84
DeKalb Georgia 15959 278 1.74
Cobb Georgia 15931 369 2.32
Santa Clara California 15688 224 1.43
Sacramento California 15516 234 1.51
Cuyahoga Ohio 14955 552 3.69
Baltimore Maryland 14693 588 4.00
Jefferson Alabama 14621 285 1.95
Rockland New York 14129 674 4.77
Fort Bend Texas 14034 216 1.54
Baltimore City Maryland 13981 449 3.21
Lake Illinois 13857 455 3.28
DuPage Illinois 13778 529 3.84
Wake North Carolina 13700 188 1.37
District of Columbia District of Columbia 13534 604 4.46
New Haven Connecticut 13442 1111 8.27
Stanislaus California 13380 229 1.71
East Baton Rouge Louisiana 13350 401 3.00
Charleston South Carolina 13320 226 1.70
Tulare California 13196 210 1.59
Worcester Massachusetts 13196 1036 7.85
Hartford Connecticut 13002 1422 10.94
Douglas Nebraska 12619 148 1.17
Oklahoma Oklahoma 12584 143 1.14
Contra Costa California 12527 168 1.34
Tulsa Oklahoma 12312 125 1.02
Yuma Arizona 12048 304 2.52
Macomb Michigan 12016 958 7.97
Polk Iowa 11751 214 1.82
Greenville South Carolina 11574 243 2.10
Mobile Alabama 11540 241 2.09
Orange New York 11334 493 4.35
Collier Florida 11245 163 1.45
Orleans Louisiana 11191 570 5.09
Ocean New Jersey 10926 1025 9.38

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc